Overview

Dataset statistics

Number of variables26
Number of observations59982
Missing cells9382
Missing cells (%)0.6%
Duplicate rows7877
Duplicate rows (%)13.1%
Total size in memory12.4 MiB
Average record size in memory216.0 B

Variable types

Numeric23
Categorical3

Alerts

route has constant value ""Constant
Dataset has 7877 (13.1%) duplicate rowsDuplicates
velocidade_por_posicao_acelerador_e has 21317 (35.5%) infinite valuesInfinite
velocidade_por_posicao_acelerador_d has 6723 (11.2%) infinite valuesInfinite
aceleracao_por_posicao_acelerador_e has 22072 (36.8%) infinite valuesInfinite
aceleracao_por_posicao_acelerador_d has 6915 (11.5%) infinite valuesInfinite
velocidade_por_posicao_acelerador_e has 3578 (6.0%) missing valuesMissing
velocidade_por_posicao_acelerador_d has 1352 (2.3%) missing valuesMissing
aceleracao_por_posicao_acelerador_e has 2823 (4.7%) missing valuesMissing
aceleracao_por_posicao_acelerador_d has 1160 (1.9%) missing valuesMissing
aceleracao has 3813 (6.4%) zerosZeros
distancia_percorrida has 1107 (1.8%) zerosZeros
espaco_livre_no_tanque_combustivel has 3177 (5.3%) zerosZeros
posicao_acelerador_d has 8075 (13.5%) zerosZeros
posicao_acelerador_e has 24895 (41.5%) zerosZeros
velocidade_gps has 7492 (12.5%) zerosZeros
velocidade_veiculo has 3840 (6.4%) zerosZeros
velocidade_media has 1087 (1.8%) zerosZeros
velocidade_por_rpm has 3567 (5.9%) zerosZeros
velocidade_por_posicao_acelerador_d has 2488 (4.1%) zerosZeros
aceleracao_por_rpm has 3617 (6.0%) zerosZeros
aceleracao_por_posicao_acelerador_e has 990 (1.7%) zerosZeros
aceleracao_por_posicao_acelerador_d has 2653 (4.4%) zerosZeros

Reproduction

Analysis started2023-11-14 13:51:26.210242
Analysis finished2023-11-14 13:52:22.571778
Duration56.36 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

aceleracao
Real number (ℝ)

ZEROS 

Distinct3349
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.054214912
Minimum-2.074819
Maximum1.5977983
Zeros3813
Zeros (%)6.4%
Negative29215
Negative (%)48.7%
Memory size937.2 KiB
2023-11-14T10:52:22.679105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.074819
5-th percentile-1.1678871
Q1-0.4533561
median0
Q30.40297381
95-th percentile0.90573148
Maximum1.5977983
Range3.6726173
Interquartile range (IQR)0.85632991

Descriptive statistics

Standard deviation0.63377546
Coefficient of variation (CV)-11.690058
Kurtosis-0.20089507
Mean-0.054214912
Median Absolute Deviation (MAD)0.44335178
Skewness-0.31215751
Sum-3251.9188
Variance0.40167133
MonotonicityNot monotonic
2023-11-14T10:52:22.856320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3813
 
6.4%
0.4925485657 301
 
0.5%
-0.9046031377 138
 
0.2%
-0.3885582918 126
 
0.2%
0.7128244778 122
 
0.2%
-0.1280071071 121
 
0.2%
-0.1558577554 119
 
0.2%
0.2553035763 115
 
0.2%
-0.7102469054 111
 
0.2%
0.1909180906 108
 
0.2%
Other values (3339) 54908
91.5%
ValueCountFrequency (%)
-2.074819038 10
 
< 0.1%
-2.050084802 40
0.1%
-1.985176429 50
0.1%
-1.983408113 11
 
< 0.1%
-1.963476684 16
 
< 0.1%
-1.943201495 9
 
< 0.1%
-1.924564463 9
 
< 0.1%
-1.899203814 13
 
< 0.1%
-1.884252373 8
 
< 0.1%
-1.87714196 8
 
< 0.1%
ValueCountFrequency (%)
1.597798266 8
 
< 0.1%
1.596575983 10
 
< 0.1%
1.55635764 15
 
< 0.1%
1.553849103 13
 
< 0.1%
1.52867226 7
 
< 0.1%
1.489512484 40
0.1%
1.457687027 11
 
< 0.1%
1.427069018 10
 
< 0.1%
1.425380343 15
 
< 0.1%
1.424062289 9
 
< 0.1%

altitude_gps
Real number (ℝ)

Distinct8459
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.68932
Minimum0
Maximum870.40002
Zeros376
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:23.036195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile802.14723
Q1810.81331
median823.52075
Q3839.20001
95-th percentile860.70001
Maximum870.40002
Range870.40002
Interquartile range (IQR)28.386705

Descriptive statistics

Standard deviation68.195343
Coefficient of variation (CV)0.082994073
Kurtosis129.43397
Mean821.68932
Median Absolute Deviation (MAD)13.717073
Skewness-10.982057
Sum49286569
Variance4650.6048
MonotonicityNot monotonic
2023-11-14T10:52:23.214853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
860.7000122 689
 
1.1%
856.8000488 456
 
0.8%
807.4000244 405
 
0.7%
0 376
 
0.6%
811.7000122 366
 
0.6%
804.5 355
 
0.6%
830.4000244 348
 
0.6%
812.5 333
 
0.6%
860.8000488 330
 
0.6%
834.3000488 327
 
0.5%
Other values (8449) 55997
93.4%
ValueCountFrequency (%)
0 376
0.6%
396.2999878 11
 
< 0.1%
787.6842919 3
 
< 0.1%
793.0034651 3
 
< 0.1%
794.2064331 4
 
< 0.1%
794.264056 3
 
< 0.1%
794.4054738 3
 
< 0.1%
794.4380131 3
 
< 0.1%
794.5175967 4
 
< 0.1%
794.6021693 3
 
< 0.1%
ValueCountFrequency (%)
870.4000244 7
< 0.1%
868.5379462 4
< 0.1%
868.4029224 3
< 0.1%
868.2415485 5
< 0.1%
868.096236 2
 
< 0.1%
868.0835242 3
< 0.1%
867.8712163 3
< 0.1%
867.8446262 3
< 0.1%
867.6863475 4
< 0.1%
867.5584081 2
 
< 0.1%

distancia_percorrida
Real number (ℝ)

ZEROS 

Distinct4863
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1744678
Minimum0
Maximum7.9776113
Zeros1107
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:23.364356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04573855
Q11.0293316
median2.712383
Q35.125765
95-th percentile7.4394775
Maximum7.9776113
Range7.9776113
Interquartile range (IQR)4.0964333

Descriptive statistics

Standard deviation2.3797531
Coefficient of variation (CV)0.74965417
Kurtosis-1.1023434
Mean3.1744678
Median Absolute Deviation (MAD)2.0213412
Skewness0.37209302
Sum190410.93
Variance5.6632246
MonotonicityNot monotonic
2023-11-14T10:52:23.538012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1107
 
1.8%
1.67758572 301
 
0.5%
5.102272807 245
 
0.4%
5.101815301 188
 
0.3%
0.002141560222 129
 
0.2%
2.61692834 128
 
0.2%
5.167156395 124
 
0.2%
0.0009731759167 113
 
0.2%
5.167428073 110
 
0.2%
2.397284965 107
 
0.2%
Other values (4853) 57430
95.7%
ValueCountFrequency (%)
0 1107
1.8%
0.0002712113333 8
 
< 0.1%
0.0004729493889 21
 
< 0.1%
0.0006496331111 7
 
< 0.1%
0.0006519802778 8
 
< 0.1%
0.0007924419444 4
 
< 0.1%
0.00081371825 8
 
< 0.1%
0.0009202086667 7
 
< 0.1%
0.0009731759167 113
 
0.2%
0.001192458889 10
 
< 0.1%
ValueCountFrequency (%)
7.977611321 31
0.1%
7.976967584 15
< 0.1%
7.974515644 10
 
< 0.1%
7.971902703 12
 
< 0.1%
7.970814378 12
 
< 0.1%
7.970165783 16
< 0.1%
7.968746223 11
 
< 0.1%
7.966166779 11
 
< 0.1%
7.962888865 9
 
< 0.1%
7.958984374 12
 
< 0.1%
Distinct4863
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.216068
Minimum35.041601
Maximum43.019212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:23.721469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.041601
5-th percentile35.087339
Q136.070932
median37.753984
Q340.167366
95-th percentile42.481078
Maximum43.019212
Range7.9776113
Interquartile range (IQR)4.0964333

Descriptive statistics

Standard deviation2.3797531
Coefficient of variation (CV)0.062271007
Kurtosis-1.1023434
Mean38.216068
Median Absolute Deviation (MAD)2.0213412
Skewness0.37209302
Sum2292276.2
Variance5.6632246
MonotonicityNot monotonic
2023-11-14T10:52:23.898402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.04160062 1107
 
1.8%
36.71918634 301
 
0.5%
40.14387342 245
 
0.4%
40.14341592 188
 
0.3%
35.04374218 129
 
0.2%
37.65852896 128
 
0.2%
40.20875701 124
 
0.2%
35.04257379 113
 
0.2%
40.20902869 110
 
0.2%
37.43888558 107
 
0.2%
Other values (4853) 57430
95.7%
ValueCountFrequency (%)
35.04160062 1107
1.8%
35.04187183 8
 
< 0.1%
35.04207357 21
 
< 0.1%
35.04225025 7
 
< 0.1%
35.0422526 8
 
< 0.1%
35.04239306 4
 
< 0.1%
35.04241434 8
 
< 0.1%
35.04252083 7
 
< 0.1%
35.04257379 113
 
0.2%
35.04279308 10
 
< 0.1%
ValueCountFrequency (%)
43.01921194 31
0.1%
43.0185682 15
< 0.1%
43.01611626 10
 
< 0.1%
43.01350332 12
 
< 0.1%
43.012415 12
 
< 0.1%
43.0117664 16
< 0.1%
43.01034684 11
 
< 0.1%
43.0077674 11
 
< 0.1%
43.00448948 9
 
< 0.1%
43.00058499 12
 
< 0.1%

espaco_livre_no_tanque_combustivel
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.352964
Minimum0
Maximum48
Zeros3177
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:24.083807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median26.5
Q340.5
95-th percentile44
Maximum48
Range48
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.90383
Coefficient of variation (CV)0.37147286
Kurtosis0.53978504
Mean29.352964
Median Absolute Deviation (MAD)5
Skewness-0.61053727
Sum1760649.5
Variance118.8935
MonotonicityNot monotonic
2023-11-14T10:52:24.259640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.5 3381
 
5.6%
0 3177
 
5.3%
41 3016
 
5.0%
22 2427
 
4.0%
25.5 2363
 
3.9%
42 2347
 
3.9%
25 2132
 
3.6%
23 2085
 
3.5%
26 2084
 
3.5%
24 2027
 
3.4%
Other values (67) 34943
58.3%
ValueCountFrequency (%)
0 3177
5.3%
9.5 15
 
< 0.1%
10.5 10
 
< 0.1%
11.5 27
 
< 0.1%
12 10
 
< 0.1%
12.5 14
 
< 0.1%
13 20
 
< 0.1%
13.5 33
 
0.1%
14 44
 
0.1%
14.5 10
 
< 0.1%
ValueCountFrequency (%)
48 56
 
0.1%
47.5 96
 
0.2%
47 65
 
0.1%
46.5 212
 
0.4%
46 159
 
0.3%
45.5 324
 
0.5%
45 640
1.1%
44.5 564
0.9%
44 1145
1.9%
43.5 835
1.4%
Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.294072
Minimum4
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:24.436018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile12
Q119
median47
Q354
95-th percentile100
Maximum100
Range96
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.807659
Coefficient of variation (CV)0.52810629
Kurtosis0.53978504
Mean41.294072
Median Absolute Deviation (MAD)10
Skewness0.61053727
Sum2476901
Variance475.574
MonotonicityNot monotonic
2023-11-14T10:52:24.615530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 3381
 
5.6%
100 3177
 
5.3%
18 3016
 
5.0%
56 2427
 
4.0%
49 2363
 
3.9%
16 2347
 
3.9%
50 2132
 
3.6%
54 2085
 
3.5%
48 2084
 
3.5%
52 2027
 
3.4%
Other values (67) 34943
58.3%
ValueCountFrequency (%)
4 56
 
0.1%
5 96
 
0.2%
6 65
 
0.1%
7 212
 
0.4%
8 159
 
0.3%
9 324
 
0.5%
10 640
1.1%
11 564
0.9%
12 1145
1.9%
13 835
1.4%
ValueCountFrequency (%)
100 3177
5.3%
81 15
 
< 0.1%
79 10
 
< 0.1%
77 27
 
< 0.1%
76 10
 
< 0.1%
75 14
 
< 0.1%
74 20
 
< 0.1%
73 33
 
0.1%
72 44
 
0.1%
71 10
 
< 0.1%

nivel_combustivel_litros
Real number (ℝ)

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.647036
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:24.783656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19.5
median23.5
Q327
95-th percentile50
Maximum50
Range48
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.90383
Coefficient of variation (CV)0.52810629
Kurtosis0.53978504
Mean20.647036
Median Absolute Deviation (MAD)5
Skewness0.61053727
Sum1238450.5
Variance118.8935
MonotonicityNot monotonic
2023-11-14T10:52:24.959276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.5 3381
 
5.6%
50 3177
 
5.3%
9 3016
 
5.0%
28 2427
 
4.0%
24.5 2363
 
3.9%
8 2347
 
3.9%
25 2132
 
3.6%
27 2085
 
3.5%
24 2084
 
3.5%
26 2027
 
3.4%
Other values (67) 34943
58.3%
ValueCountFrequency (%)
2 56
 
0.1%
2.5 96
 
0.2%
3 65
 
0.1%
3.5 212
 
0.4%
4 159
 
0.3%
4.5 324
 
0.5%
5 640
1.1%
5.5 564
0.9%
6 1145
1.9%
6.5 835
1.4%
ValueCountFrequency (%)
50 3177
5.3%
40.5 15
 
< 0.1%
39.5 10
 
< 0.1%
38.5 27
 
< 0.1%
38 10
 
< 0.1%
37.5 14
 
< 0.1%
37 20
 
< 0.1%
36.5 33
 
0.1%
36 44
 
0.1%
35.5 10
 
< 0.1%

posicao_acelerador_d
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.889611
Minimum0
Maximum100
Zeros8075
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:25.137796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.0833333
median10.869565
Q325
95-th percentile46.341463
Maximum100
Range100
Interquartile range (IQR)22.916667

Descriptive statistics

Standard deviation16.974053
Coefficient of variation (CV)1.0682485
Kurtosis2.2186121
Mean15.889611
Median Absolute Deviation (MAD)9.9637681
Skewness1.3215485
Sum953090.66
Variance288.11848
MonotonicityNot monotonic
2023-11-14T10:52:25.319653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8075
 
13.5%
2.173913043 4964
 
8.3%
1.886792453 4537
 
7.6%
2.43902439 4462
 
7.4%
2.083333333 3879
 
6.5%
25 3598
 
6.0%
15.09433962 651
 
1.1%
12.5 648
 
1.1%
13.04347826 535
 
0.9%
9.756097561 527
 
0.9%
Other values (162) 28106
46.9%
ValueCountFrequency (%)
0 8075
13.5%
1.785714286 87
 
0.1%
1.886792453 4537
7.6%
2.083333333 3879
6.5%
2.173913043 4964
8.3%
2.43902439 4462
7.4%
3.571428571 47
 
0.1%
3.773584906 179
 
0.3%
4.166666667 231
 
0.4%
4.347826087 149
 
0.2%
ValueCountFrequency (%)
100 91
0.2%
97.91666667 10
 
< 0.1%
97.56097561 18
 
< 0.1%
95.83333333 7
 
< 0.1%
94.33962264 16
 
< 0.1%
93.75 41
0.1%
91.66666667 8
 
< 0.1%
89.58333333 47
0.1%
87.80487805 30
 
0.1%
87.5 11
 
< 0.1%

posicao_acelerador_e
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.467063
Minimum0
Maximum100
Zeros24895
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:25.493172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.111111
Q325.925926
95-th percentile47.619048
Maximum100
Range100
Interquartile range (IQR)25.925926

Descriptive statistics

Standard deviation17.65173
Coefficient of variation (CV)1.1412463
Kurtosis1.8134674
Mean15.467063
Median Absolute Deviation (MAD)11.111111
Skewness1.2317947
Sum927745.4
Variance311.58356
MonotonicityNot monotonic
2023-11-14T10:52:25.657502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24895
41.5%
24.13793103 3752
 
6.3%
33.33333333 1825
 
3.0%
25.92592593 963
 
1.6%
30.43478261 922
 
1.5%
23.80952381 911
 
1.5%
20.83333333 872
 
1.5%
42.85714286 837
 
1.4%
13.04347826 829
 
1.4%
18.51851852 828
 
1.4%
Other values (84) 23348
38.9%
ValueCountFrequency (%)
0 24895
41.5%
3.448275862 243
 
0.4%
3.703703704 525
 
0.9%
4.166666667 521
 
0.9%
4.347826087 447
 
0.7%
4.761904762 666
 
1.1%
6.896551724 171
 
0.3%
7.407407407 433
 
0.7%
8.333333333 402
 
0.7%
8.695652174 384
 
0.6%
ValueCountFrequency (%)
100 88
0.1%
95.83333333 58
0.1%
95.65217391 6
 
< 0.1%
95.23809524 19
 
< 0.1%
92.59259259 20
 
< 0.1%
91.66666667 43
0.1%
88.88888889 17
 
< 0.1%
87.5 57
0.1%
86.95652174 9
 
< 0.1%
85.71428571 12
 
< 0.1%

rpm_motor
Real number (ℝ)

Distinct2161
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1928.7193
Minimum0
Maximum4339
Zeros280
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:25.824370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile838
Q11364
median2004
Q32446
95-th percentile2981
Maximum4339
Range4339
Interquartile range (IQR)1082

Descriptive statistics

Standard deviation693.54574
Coefficient of variation (CV)0.35958874
Kurtosis-0.52027404
Mean1928.7193
Median Absolute Deviation (MAD)514
Skewness-0.021008901
Sum1.1568844 × 108
Variance481005.69
MonotonicityNot monotonic
2023-11-14T10:52:25.987914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 280
 
0.5%
899 193
 
0.3%
1439 186
 
0.3%
2847 153
 
0.3%
895 126
 
0.2%
2104 122
 
0.2%
2731 112
 
0.2%
793 106
 
0.2%
2473 101
 
0.2%
798 99
 
0.2%
Other values (2151) 58504
97.5%
ValueCountFrequency (%)
0 280
0.5%
203 9
 
< 0.1%
228 11
 
< 0.1%
243 6
 
< 0.1%
264 12
 
< 0.1%
403 3
 
< 0.1%
510 11
 
< 0.1%
558 13
 
< 0.1%
570 9
 
< 0.1%
576 10
 
< 0.1%
ValueCountFrequency (%)
4339 11
< 0.1%
4256 12
< 0.1%
4173 10
< 0.1%
4083 12
< 0.1%
4038 16
< 0.1%
4035 16
< 0.1%
4000 16
< 0.1%
3915 13
< 0.1%
3912 10
< 0.1%
3892 11
< 0.1%

temperatura_arrefecimento
Real number (ℝ)

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.944517
Minimum29
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:26.256122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile45
Q181
median84
Q385
95-th percentile88
Maximum93
Range64
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.714814
Coefficient of variation (CV)0.16106012
Kurtosis3.8897246
Mean78.944517
Median Absolute Deviation (MAD)2
Skewness-2.1905716
Sum4735250
Variance161.66648
MonotonicityNot monotonic
2023-11-14T10:52:26.419772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84 14248
23.8%
85 8640
14.4%
83 6523
10.9%
86 5155
 
8.6%
82 3140
 
5.2%
87 2981
 
5.0%
88 2325
 
3.9%
81 1194
 
2.0%
89 1162
 
1.9%
80 760
 
1.3%
Other values (55) 13854
23.1%
ValueCountFrequency (%)
29 77
 
0.1%
30 70
 
0.1%
31 101
 
0.2%
32 49
 
0.1%
33 75
 
0.1%
34 30
 
0.1%
35 114
 
0.2%
36 537
0.9%
37 386
0.6%
38 279
0.5%
ValueCountFrequency (%)
93 33
 
0.1%
92 18
 
< 0.1%
91 236
 
0.4%
90 476
 
0.8%
89 1162
 
1.9%
88 2325
 
3.9%
87 2981
 
5.0%
86 5155
 
8.6%
85 8640
14.4%
84 14248
23.8%

velocidade_gps
Real number (ℝ)

ZEROS 

Distinct11848
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.610298
Minimum0
Maximum62.202887
Zeros7492
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:26.592162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.183231
median25.234349
Q335.571283
95-th percentile43.73749
Maximum62.202887
Range62.202887
Interquartile range (IQR)22.388051

Descriptive statistics

Standard deviation14.556141
Coefficient of variation (CV)0.61651663
Kurtosis-0.94277079
Mean23.610298
Median Absolute Deviation (MAD)10.882882
Skewness-0.24465838
Sum1416192.9
Variance211.88125
MonotonicityNot monotonic
2023-11-14T10:52:26.763736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7492
 
12.5%
1.301696875 × 10-627
 
< 0.1%
0.001523679646 23
 
< 0.1%
0.0001180546664 23
 
< 0.1%
1.182009764 × 10-522
 
< 0.1%
0.000171383936 21
 
< 0.1%
0.07816407681 20
 
< 0.1%
4.051996984 × 10-520
 
< 0.1%
0.0002019433596 20
 
< 0.1%
2.498517745 × 10-720
 
< 0.1%
Other values (11838) 52294
87.2%
ValueCountFrequency (%)
0 7492
12.5%
2.560165751 × 10-122
 
< 0.1%
2.163371045 × 10-116
 
< 0.1%
1.555701692 × 10-1017
 
< 0.1%
6.118767992 × 10-1013
 
< 0.1%
8.620629011 × 10-99
 
< 0.1%
1.426561909 × 10-819
 
< 0.1%
1.514040413 × 10-88
 
< 0.1%
1.741607178 × 10-820
 
< 0.1%
2.001251005 × 10-818
 
< 0.1%
ValueCountFrequency (%)
62.20288696 1
 
< 0.1%
62.2028801 6
< 0.1%
62.20232391 3
< 0.1%
62.01074295 4
< 0.1%
62.00926666 3
< 0.1%
62.0059639 6
< 0.1%
61.93274689 6
< 0.1%
61.93099594 3
< 0.1%
61.89777603 6
< 0.1%
61.8976799 4
< 0.1%

velocidade_veiculo
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.010753
Minimum0
Maximum62
Zeros3840
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:26.973060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median27
Q336
95-th percentile44
Maximum62
Range62
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.914641
Coefficient of variation (CV)0.49651161
Kurtosis-0.53060032
Mean26.010753
Median Absolute Deviation (MAD)9
Skewness-0.32340171
Sum1560177
Variance166.78795
MonotonicityNot monotonic
2023-11-14T10:52:27.201222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3840
 
6.4%
38 1989
 
3.3%
31 1960
 
3.3%
39 1958
 
3.3%
36 1884
 
3.1%
35 1852
 
3.1%
40 1824
 
3.0%
23 1784
 
3.0%
20 1780
 
3.0%
34 1722
 
2.9%
Other values (53) 39389
65.7%
ValueCountFrequency (%)
0 3840
6.4%
1 156
 
0.3%
2 297
 
0.5%
3 364
 
0.6%
4 388
 
0.6%
5 551
 
0.9%
6 518
 
0.9%
7 444
 
0.7%
8 610
 
1.0%
9 537
 
0.9%
ValueCountFrequency (%)
62 49
0.1%
61 72
0.1%
60 29
 
< 0.1%
59 16
 
< 0.1%
58 34
 
0.1%
57 33
 
0.1%
56 39
0.1%
55 43
0.1%
54 70
0.1%
53 92
0.2%

velocidade_media
Real number (ℝ)

ZEROS 

Distinct5197
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.850744
Minimum0
Maximum30.255456
Zeros1087
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:27.391185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.421974
Q118.210135
median23.260879
Q325.070309
95-th percentile28.863779
Maximum30.255456
Range30.255456
Interquartile range (IQR)6.8601738

Descriptive statistics

Standard deviation7.0488278
Coefficient of variation (CV)0.33806121
Kurtosis1.296072
Mean20.850744
Median Absolute Deviation (MAD)2.6710169
Skewness-1.3724202
Sum1250669.3
Variance49.685973
MonotonicityNot monotonic
2023-11-14T10:52:27.585930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1087
 
1.8%
21.70838146 309
 
0.5%
21.74275004 84
 
0.1%
27.26299117 60
 
0.1%
29.80548913 39
 
0.1%
4.961571526 25
 
< 0.1%
25.14282547 24
 
< 0.1%
26.18612529 24
 
< 0.1%
16.87669059 22
 
< 0.1%
26.74594074 22
 
< 0.1%
Other values (5187) 58286
97.2%
ValueCountFrequency (%)
0 1087
1.8%
0.04791679622 8
 
< 0.1%
0.05166481005 7
 
< 0.1%
0.05241893537 8
 
< 0.1%
0.05334468929 12
 
< 0.1%
0.05415109987 6
 
< 0.1%
0.05515272459 9
 
< 0.1%
0.05600816097 6
 
< 0.1%
0.05708148662 8
 
< 0.1%
0.05800268217 6
 
< 0.1%
ValueCountFrequency (%)
30.25545611 16
< 0.1%
30.25505321 10
< 0.1%
30.25448156 8
< 0.1%
30.25017184 14
< 0.1%
30.24952977 14
< 0.1%
30.24387732 9
< 0.1%
30.23445013 11
< 0.1%
30.22737435 16
< 0.1%
30.22648647 13
< 0.1%
30.21852923 14
< 0.1%

velocidade_media_gps
Real number (ℝ)

Distinct24962
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.856028
Minimum0
Maximum26.680389
Zeros56
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:27.785652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.7532927
Q115.254782
median20.076955
Q321.835536
95-th percentile25.140963
Maximum26.680389
Range26.680389
Interquartile range (IQR)6.5807548

Descriptive statistics

Standard deviation6.3764871
Coefficient of variation (CV)0.35710557
Kurtosis0.81457347
Mean17.856028
Median Absolute Deviation (MAD)2.6137182
Skewness-1.2447582
Sum1071040.3
Variance40.659588
MonotonicityNot monotonic
2023-11-14T10:52:27.984351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
0.1%
19.31947651 30
 
0.1%
21.64436625 27
 
< 0.1%
12.05695016 24
 
< 0.1%
0.3255298454 23
 
< 0.1%
21.6132464 23
 
< 0.1%
23.93418154 22
 
< 0.1%
22.62013118 22
 
< 0.1%
12.15857628 21
 
< 0.1%
0.394159718 21
 
< 0.1%
Other values (24952) 59713
99.6%
ValueCountFrequency (%)
0 56
0.1%
9.733911484 × 10-61
 
< 0.1%
9.734264539 × 10-61
 
< 0.1%
1.107988464 × 10-53
 
< 0.1%
1.466975187 × 10-51
 
< 0.1%
1.470943159 × 10-52
 
< 0.1%
1.471706088 × 10-51
 
< 0.1%
2.18438818 × 10-51
 
< 0.1%
2.200561228 × 10-52
 
< 0.1%
2.205765289 × 10-51
 
< 0.1%
ValueCountFrequency (%)
26.68038869 7
< 0.1%
26.68005542 2
 
< 0.1%
26.67993711 2
 
< 0.1%
26.67981697 3
< 0.1%
26.67340978 4
< 0.1%
26.67337277 2
 
< 0.1%
26.67333338 2
 
< 0.1%
26.67251149 6
< 0.1%
26.67247787 1
 
< 0.1%
26.67247542 1
 
< 0.1%

latitude_gps
Real number (ℝ)

Distinct6365
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-23.547917
Minimum-23.556443
Maximum-23.532837
Zeros0
Zeros (%)0.0%
Negative59982
Negative (%)100.0%
Memory size937.2 KiB
2023-11-14T10:52:28.154243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-23.556443
5-th percentile-23.556248
Q1-23.553217
median-23.55011
Q3-23.541933
95-th percentile-23.535001
Maximum-23.532837
Range0.023605781
Interquartile range (IQR)0.011284453

Descriptive statistics

Standard deviation0.0067402609
Coefficient of variation (CV)-0.00028623597
Kurtosis-0.89604554
Mean-23.547917
Median Absolute Deviation (MAD)0.0041984599
Skewness0.60351129
Sum-1412451.2
Variance4.5431116 × 10-5
MonotonicityNot monotonic
2023-11-14T10:52:28.326353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-23.54157173 152
 
0.3%
-23.53335957 119
 
0.2%
-23.54150788 111
 
0.2%
-23.54137462 110
 
0.2%
-23.54152522 106
 
0.2%
-23.54140265 103
 
0.2%
-23.55628018 100
 
0.2%
-23.55325431 90
 
0.2%
-23.55346007 90
 
0.2%
-23.55321133 86
 
0.1%
Other values (6355) 58915
98.2%
ValueCountFrequency (%)
-23.55644318 59
0.1%
-23.55643438 10
 
< 0.1%
-23.55643072 9
 
< 0.1%
-23.55642837 11
 
< 0.1%
-23.55642471 7
 
< 0.1%
-23.55641806 13
 
< 0.1%
-23.55641566 9
 
< 0.1%
-23.55641071 13
 
< 0.1%
-23.55640923 2
 
< 0.1%
-23.55640668 10
 
< 0.1%
ValueCountFrequency (%)
-23.5328374 5
< 0.1%
-23.5330502 7
< 0.1%
-23.53308 5
< 0.1%
-23.5330818 8
< 0.1%
-23.5331118 12
< 0.1%
-23.5331156 6
< 0.1%
-23.5331165 10
< 0.1%
-23.5331245 6
< 0.1%
-23.5331448 10
< 0.1%
-23.5331464 6
< 0.1%

longitude_gps
Real number (ℝ)

Distinct6362
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-46.889265
Minimum-46.898597
Maximum-46.879918
Zeros0
Zeros (%)0.0%
Negative59982
Negative (%)100.0%
Memory size937.2 KiB
2023-11-14T10:52:28.517783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-46.898597
5-th percentile-46.898165
Q1-46.896114
median-46.888059
Q3-46.884312
95-th percentile-46.88036
Maximum-46.879918
Range0.0186784
Interquartile range (IQR)0.011801399

Descriptive statistics

Standard deviation0.0063445826
Coefficient of variation (CV)-0.00013530992
Kurtosis-1.5166106
Mean-46.889265
Median Absolute Deviation (MAD)0.0061535688
Skewness-0.10433369
Sum-2812511.9
Variance4.0253728 × 10-5
MonotonicityNot monotonic
2023-11-14T10:52:28.750454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-46.88460286 152
 
0.3%
-46.88067643 119
 
0.2%
-46.88467395 111
 
0.2%
-46.88454754 110
 
0.2%
-46.88466599 106
 
0.2%
-46.88458891 103
 
0.2%
-46.89602552 100
 
0.2%
-46.89816537 90
 
0.2%
-46.89814714 90
 
0.2%
-46.89818078 86
 
0.1%
Other values (6352) 58915
98.2%
ValueCountFrequency (%)
-46.8985967 5
< 0.1%
-46.8985811 5
< 0.1%
-46.89852694 10
< 0.1%
-46.89852175 10
< 0.1%
-46.8985165 7
< 0.1%
-46.89851294 7
< 0.1%
-46.89851152 10
< 0.1%
-46.89850775 8
< 0.1%
-46.89850374 9
< 0.1%
-46.89849816 10
< 0.1%
ValueCountFrequency (%)
-46.8799183 13
< 0.1%
-46.8800325 7
< 0.1%
-46.880056 10
< 0.1%
-46.88008317 5
 
< 0.1%
-46.88008392 11
< 0.1%
-46.88008483 9
< 0.1%
-46.88008668 10
< 0.1%
-46.88008837 9
< 0.1%
-46.88009188 13
< 0.1%
-46.88009419 9
< 0.1%

velocidade_por_rpm
Real number (ℝ)

ZEROS 

Distinct6593
Distinct (%)11.0%
Missing273
Missing (%)0.5%
Infinite7
Infinite (%)< 0.1%
Meaninf
Minimum0
Maximuminf
Zeros3567
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:28.963322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00968523
median0.01530842
Q30.015801354
95-th percentile0.022134776
Maximuminf
Rangeinf
Interquartile range (IQR)0.0061161244

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meaninf
Median Absolute Deviation (MAD)0.0030964883
Skewnessnan
Suminf
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:29.139285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3567
 
5.9%
0.01538461538 236
 
0.4%
0.015625 211
 
0.4%
0.02154273801 160
 
0.3%
0.009803921569 142
 
0.2%
0.01568627451 132
 
0.2%
0.01088865472 128
 
0.2%
0.01587301587 125
 
0.2%
0.01550387597 120
 
0.2%
0.01554404145 103
 
0.2%
Other values (6583) 54785
91.3%
(Missing) 273
 
0.5%
ValueCountFrequency (%)
0 3567
5.9%
0.0005827505828 1
 
< 0.1%
0.0006747638327 2
 
< 0.1%
0.0006920415225 8
 
< 0.1%
0.0008032128514 3
 
< 0.1%
0.0008051529791 8
 
< 0.1%
0.0008244023083 1
 
< 0.1%
0.0008613264427 2
 
< 0.1%
0.0008673026886 6
 
< 0.1%
0.0009250693802 6
 
< 0.1%
ValueCountFrequency (%)
inf 7
 
< 0.1%
0.04243743199 22
< 0.1%
0.04211663067 1
 
< 0.1%
0.04171240395 11
< 0.1%
0.04134929271 1
 
< 0.1%
0.03930131004 1
 
< 0.1%
0.03887688985 9
< 0.1%
0.03771849126 1
 
< 0.1%
0.03688092729 1
 
< 0.1%
0.03683640303 1
 
< 0.1%

velocidade_por_posicao_acelerador_e
Real number (ℝ)

INFINITE  MISSING 

Distinct1419
Distinct (%)2.5%
Missing3578
Missing (%)6.0%
Infinite21317
Infinite (%)35.5%
Meaninf
Minimum0
Maximuminf
Zeros262
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:29.325967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.382625
Q10.972
median2.3625
Q3nan
95-th percentilenan
Maximuminf
Rangeinf
Interquartile range (IQR)nan

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meaninf
Median Absolute Deviation (MAD)1.9167857
Skewnessnan
Suminf
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:29.523515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
inf 21317
35.5%
0 262
 
0.4%
1.05 181
 
0.3%
1.08 169
 
0.3%
0.8285714286 167
 
0.3%
1.16 160
 
0.3%
0.9114285714 158
 
0.3%
1.284285714 154
 
0.3%
1.35 154
 
0.3%
0.63 141
 
0.2%
Other values (1409) 33541
55.9%
(Missing) 3578
 
6.0%
ValueCountFrequency (%)
0 262
0.4%
0.04142857143 24
 
< 0.1%
0.05714285714 3
 
< 0.1%
0.06857142857 4
 
< 0.1%
0.07875 6
 
< 0.1%
0.08285714286 46
 
0.1%
0.09 2
 
< 0.1%
0.092 3
 
< 0.1%
0.096 2
 
< 0.1%
0.1035 6
 
< 0.1%
ValueCountFrequency (%)
inf 21317
35.5%
12.42 8
 
< 0.1%
11.88 10
 
< 0.1%
11.34 24
 
< 0.1%
11.27 16
 
< 0.1%
11.07 28
 
< 0.1%
11.04 5
 
< 0.1%
11.02 27
 
< 0.1%
10.81 16
 
< 0.1%
10.8 4
 
< 0.1%

velocidade_por_posicao_acelerador_d
Real number (ℝ)

INFINITE  MISSING  ZEROS 

Distinct2209
Distinct (%)3.8%
Missing1352
Missing (%)2.3%
Infinite6723
Infinite (%)11.2%
Meaninf
Minimum0
Maximuminf
Zeros2488
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size937.2 KiB
2023-11-14T10:52:29.710465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.87529412
median2.0718182
Q312.42
95-th percentilenan
Maximuminf
Rangeinf
Interquartile range (IQR)11.544706

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meaninf
Median Absolute Deviation (MAD)1.6558182
Skewnessnan
Suminf
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:29.898343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
inf 6723
 
11.2%
0 2488
 
4.1%
0.92 206
 
0.3%
14.26 206
 
0.3%
17.94 204
 
0.3%
11.04 194
 
0.3%
10.25 188
 
0.3%
0.8 187
 
0.3%
16.1 186
 
0.3%
11.66 186
 
0.3%
Other values (2199) 47862
79.8%
(Missing) 1352
 
2.3%
ValueCountFrequency (%)
0 2488
4.1%
0.04 24
 
< 0.1%
0.05217391304 2
 
< 0.1%
0.06 5
 
< 0.1%
0.08 46
 
0.1%
0.08727272727 5
 
< 0.1%
0.09 3
 
< 0.1%
0.09945945946 4
 
< 0.1%
0.1051428571 5
 
< 0.1%
0.11 18
 
< 0.1%
ValueCountFrequency (%)
inf 6723
11.2%
27.84 13
 
< 0.1%
27.56 3
 
< 0.1%
27.36 9
 
< 0.1%
27.03 10
 
< 0.1%
26.88 2
 
< 0.1%
26.4 12
 
< 0.1%
25.97 25
 
< 0.1%
25.92 6
 
< 0.1%
25.44 44
 
0.1%

aceleracao_por_rpm
Real number (ℝ)

ZEROS 

Distinct8196
Distinct (%)13.7%
Missing196
Missing (%)0.3%
Infinite84
Infinite (%)0.1%
Mean-inf
Minimum-inf
Maximum0.0012233761
Zeros3617
Zeros (%)6.0%
Negative29215
Negative (%)48.7%
Memory size937.2 KiB
2023-11-14T10:52:30.084039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile-0.00089021093
Q1-0.00028818489
median0
Q30.00019111541
95-th percentile0.00046143509
Maximum0.0012233761
Rangeinf
Interquartile range (IQR)0.0004793003

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.00022025499
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:30.275122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3617
 
6.0%
0.0003422853132 165
 
0.3%
0.0001730061699 128
 
0.2%
-inf 84
 
0.1%
-0.0001642336727 84
 
0.1%
0.0005250204539 37
 
0.1%
-0.0006301680951 29
 
< 0.1%
-0.001066945428 28
 
< 0.1%
-0.0002885366174 27
 
< 0.1%
0.0001481421254 26
 
< 0.1%
Other values (8186) 55561
92.6%
(Missing) 196
 
0.3%
ValueCountFrequency (%)
-inf 84
0.1%
-0.002498995786 10
 
< 0.1%
-0.002211024003 1
 
< 0.1%
-0.002181723489 9
 
< 0.1%
-0.002166333885 8
 
< 0.1%
-0.002131507209 6
 
< 0.1%
-0.00208041371 16
 
< 0.1%
-0.002063153763 6
 
< 0.1%
-0.002051094222 8
 
< 0.1%
-0.002029342659 4
 
< 0.1%
ValueCountFrequency (%)
0.001223376089 1
 
< 0.1%
0.001217956926 10
< 0.1%
0.001216198974 1
 
< 0.1%
0.001213517168 9
< 0.1%
0.001191979252 1
 
< 0.1%
0.001152284927 14
< 0.1%
0.001150876519 12
< 0.1%
0.00114563468 1
 
< 0.1%
0.00114213503 1
 
< 0.1%
0.001140877172 10
< 0.1%

aceleracao_por_posicao_acelerador_e
Real number (ℝ)

INFINITE  MISSING  ZEROS 

Distinct3864
Distinct (%)6.8%
Missing2823
Missing (%)4.7%
Infinite22072
Infinite (%)36.8%
Meannan
Minimum-inf
Maximuminf
Zeros990
Zeros (%)1.7%
Negative29215
Negative (%)48.7%
Memory size937.2 KiB
2023-11-14T10:52:30.593423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentilenan
Q1-0.074568812
median-0.0021832607
Q30.029221122
95-th percentilenan
Maximuminf
Rangeinf
Interquartile range (IQR)0.10378993

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meannan
Median Absolute Deviation (MAD)0.038392349
Skewnessnan
Sumnan
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:30.768894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-inf 13469
 
22.5%
inf 8603
 
14.3%
0 990
 
1.7%
0.02040558344 100
 
0.2%
-0.02895204372 63
 
0.1%
0.02523102681 49
 
0.1%
-0.05873920333 45
 
0.1%
-0.005403744307 43
 
0.1%
-0.01687892037 43
 
0.1%
-0.0311041981 42
 
0.1%
Other values (3854) 33712
56.2%
(Missing) 2823
 
4.7%
ValueCountFrequency (%)
-inf 13469
22.5%
-0.5757011644 7
 
< 0.1%
-0.5581236944 2
 
< 0.1%
-0.4359150605 8
 
< 0.1%
-0.3893032152 6
 
< 0.1%
-0.367214989 10
 
< 0.1%
-0.3460342354 17
 
< 0.1%
-0.3270392832 28
 
< 0.1%
-0.3140057521 13
 
< 0.1%
-0.310951307 3
 
< 0.1%
ValueCountFrequency (%)
inf 8603
14.3%
0.3278374788 3
 
< 0.1%
0.3257071107 12
 
< 0.1%
0.3081330066 3
 
< 0.1%
0.2796245491 7
 
< 0.1%
0.2684860464 9
 
< 0.1%
0.2619400963 7
 
< 0.1%
0.253073441 2
 
< 0.1%
0.2456512994 2
 
< 0.1%
0.2286874957 10
 
< 0.1%

aceleracao_por_posicao_acelerador_d
Real number (ℝ)

INFINITE  MISSING  ZEROS 

Distinct5364
Distinct (%)9.1%
Missing1160
Missing (%)1.9%
Infinite6915
Infinite (%)11.5%
Meannan
Minimum-inf
Maximuminf
Zeros2653
Zeros (%)4.4%
Negative29215
Negative (%)48.7%
Memory size937.2 KiB
2023-11-14T10:52:30.934152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentilenan
Q1-0.049101652
median0
Q30.026544511
95-th percentile0.6228168
Maximuminf
Rangeinf
Interquartile range (IQR)0.075646164

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meannan
Median Absolute Deviation (MAD)0.033900977
Skewnessnan
Sumnan
Variancenan
MonotonicityNot monotonic
2023-11-14T10:52:31.144257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-inf 4162
 
6.9%
inf 2753
 
4.6%
0 2653
 
4.4%
0.3777969732 122
 
0.2%
0.01970194263 93
 
0.2%
0.2588842898 73
 
0.1%
0.3091479467 70
 
0.1%
-0.2627945043 67
 
0.1%
0.6638428695 67
 
0.1%
-0.1473007003 64
 
0.1%
Other values (5354) 48698
81.2%
(Missing) 1160
 
1.9%
ValueCountFrequency (%)
-inf 4162
6.9%
-1.0512063 11
 
< 0.1%
-1.040642642 16
 
< 0.1%
-1.029896792 9
 
< 0.1%
-0.9959131382 10
 
< 0.1%
-0.9588161632 10
 
< 0.1%
-0.9430390088 2
 
< 0.1%
-0.9249114104 12
 
< 0.1%
-0.9144477008 9
 
< 0.1%
-0.9116178308 11
 
< 0.1%
ValueCountFrequency (%)
inf 2753
4.6%
0.753485581 7
 
< 0.1%
0.7470516672 8
 
< 0.1%
0.7149659922 33
 
0.1%
0.6869203819 9
 
< 0.1%
0.6849931285 8
 
< 0.1%
0.6638428695 67
 
0.1%
0.653256371 11
 
< 0.1%
0.6524396302 22
 
< 0.1%
0.6263425175 3
 
< 0.1%

driver
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size937.2 KiB
driver_b
36896 
driver_a
23086 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters479856
Distinct characters8
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdriver_a
2nd rowdriver_a
3rd rowdriver_a
4th rowdriver_a
5th rowdriver_a

Common Values

ValueCountFrequency (%)
driver_b 36896
61.5%
driver_a 23086
38.5%

Length

2023-11-14T10:52:31.322873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-14T10:52:31.449521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
driver_b 36896
61.5%
driver_a 23086
38.5%

Most occurring characters

ValueCountFrequency (%)
r 119964
25.0%
d 59982
12.5%
i 59982
12.5%
v 59982
12.5%
e 59982
12.5%
_ 59982
12.5%
b 36896
 
7.7%
a 23086
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 419874
87.5%
Connector Punctuation 59982
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 119964
28.6%
d 59982
14.3%
i 59982
14.3%
v 59982
14.3%
e 59982
14.3%
b 36896
 
8.8%
a 23086
 
5.5%
Connector Punctuation
ValueCountFrequency (%)
_ 59982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 419874
87.5%
Common 59982
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 119964
28.6%
d 59982
14.3%
i 59982
14.3%
v 59982
14.3%
e 59982
14.3%
b 36896
 
8.8%
a 23086
 
5.5%
Common
ValueCountFrequency (%)
_ 59982
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 479856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 119964
25.0%
d 59982
12.5%
i 59982
12.5%
v 59982
12.5%
e 59982
12.5%
_ 59982
12.5%
b 36896
 
7.7%
a 23086
 
4.8%

route
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size937.2 KiB
route_a
59982 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters419874
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowroute_a
2nd rowroute_a
3rd rowroute_a
4th rowroute_a
5th rowroute_a

Common Values

ValueCountFrequency (%)
route_a 59982
100.0%

Length

2023-11-14T10:52:31.592172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-14T10:52:31.714098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
route_a 59982
100.0%

Most occurring characters

ValueCountFrequency (%)
r 59982
14.3%
o 59982
14.3%
u 59982
14.3%
t 59982
14.3%
e 59982
14.3%
_ 59982
14.3%
a 59982
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 359892
85.7%
Connector Punctuation 59982
 
14.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 59982
16.7%
o 59982
16.7%
u 59982
16.7%
t 59982
16.7%
e 59982
16.7%
a 59982
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 59982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 359892
85.7%
Common 59982
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 59982
16.7%
o 59982
16.7%
u 59982
16.7%
t 59982
16.7%
e 59982
16.7%
a 59982
16.7%
Common
ValueCountFrequency (%)
_ 59982
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 59982
14.3%
o 59982
14.3%
u 59982
14.3%
t 59982
14.3%
e 59982
14.3%
_ 59982
14.3%
a 59982
14.3%

trip
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size937.2 KiB
trip_2
23781 
trip_1
23481 
trip_3
12720 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters359892
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtrip_1
2nd rowtrip_1
3rd rowtrip_1
4th rowtrip_1
5th rowtrip_1

Common Values

ValueCountFrequency (%)
trip_2 23781
39.6%
trip_1 23481
39.1%
trip_3 12720
21.2%

Length

2023-11-14T10:52:31.835932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-14T10:52:31.956820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
trip_2 23781
39.6%
trip_1 23481
39.1%
trip_3 12720
21.2%

Most occurring characters

ValueCountFrequency (%)
t 59982
16.7%
r 59982
16.7%
i 59982
16.7%
p 59982
16.7%
_ 59982
16.7%
2 23781
 
6.6%
1 23481
 
6.5%
3 12720
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 239928
66.7%
Connector Punctuation 59982
 
16.7%
Decimal Number 59982
 
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 59982
25.0%
r 59982
25.0%
i 59982
25.0%
p 59982
25.0%
Decimal Number
ValueCountFrequency (%)
2 23781
39.6%
1 23481
39.1%
3 12720
21.2%
Connector Punctuation
ValueCountFrequency (%)
_ 59982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 239928
66.7%
Common 119964
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 59982
25.0%
r 59982
25.0%
i 59982
25.0%
p 59982
25.0%
Common
ValueCountFrequency (%)
_ 59982
50.0%
2 23781
 
19.8%
1 23481
 
19.6%
3 12720
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 59982
16.7%
r 59982
16.7%
i 59982
16.7%
p 59982
16.7%
_ 59982
16.7%
2 23781
 
6.6%
1 23481
 
6.5%
3 12720
 
3.5%

Interactions

2023-11-14T10:52:18.044871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:27.450237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:29.069295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.695469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:33.109220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.785493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.451171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:38.016098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:39.629407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:41.157369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:43.165843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:45.037024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:46.798349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:48.666164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:50.396826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:52.320693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:54.561322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:57.150101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:02.123938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.852547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:09.025082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.903398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:15.013002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:18.179703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:27.578102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:29.134403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.769657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:33.204751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.855280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.523687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:38.085232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-11-14T10:51:53.994829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:56.690095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:00.464468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.175564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:08.392482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.277396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:14.354064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:17.398455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:20.605639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:28.791666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.407633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:32.748380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.482350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.179848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:37.744414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:39.359919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:40.889038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:42.851756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:44.729403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:46.476119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:48.359977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:50.087730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:51.943774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:54.071681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:56.788680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:00.731282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.323930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:08.513325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.402463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:14.486810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:17.533833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:20.742078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:28.858176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.478638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:32.837793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.552383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.245589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:37.808748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:39.423566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:40.952486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:42.926302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:44.801620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:46.551789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:48.433063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:50.161041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:52.033263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:54.176213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:56.880769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:01.098522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.450730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:08.623513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.522187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:14.611148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:17.665211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:20.882389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:28.926763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.557850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:32.930912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.635133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.317904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:37.882991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:39.495161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:41.022701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:43.010369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:44.877610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:46.635899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:48.510914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:50.239839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:52.131781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:54.283177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:56.973019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:01.476480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.587625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:08.762081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.652289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:14.749776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:17.808458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:21.021150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:28.997313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:30.622054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:33.014696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:34.705732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:36.381639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:37.944215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:39.558157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:41.086981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:43.082736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:44.957332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:46.711360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:48.584560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:50.314910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:52.223123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:54.407190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:51:57.056569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:01.777079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:05.726525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:08.889674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:11.768560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:14.873849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-14T10:52:17.907304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-11-14T10:52:21.255294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-14T10:52:21.756814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-11-14T10:52:22.298470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

aceleracaoaltitude_gpsdistancia_percorridadistancia_percorrida_totalespaco_livre_no_tanque_combustivelnivel_combustivel_porcentagemnivel_combustivel_litrosposicao_acelerador_dposicao_acelerador_erpm_motortemperatura_arrefecimentovelocidade_gpsvelocidade_veiculovelocidade_mediavelocidade_media_gpslatitude_gpslongitude_gpsvelocidade_por_rpmvelocidade_por_posicao_acelerador_evelocidade_por_posicao_acelerador_daceleracao_por_rpmaceleracao_por_posicao_acelerador_eaceleracao_por_posicao_acelerador_ddriverroutetrip
time
1900-01-01 19:32:22.2690.0809.9611010.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000000-23.556155-46.8961840.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:22.2730.0809.9611010.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000000-23.556155-46.8961840.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.0030.0815.0000000.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000000-23.556155-46.8961840.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.0100.0815.0000000.035.04160138.523.011.52.1739130.0960.088.00.0062890.00.00.000025-23.556155-46.8961840.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.2530.0794.4380130.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000022-23.556155-46.8961840.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.2570.0794.4380130.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000022-23.556320-46.8961070.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.2600.0794.4380130.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000022-23.556320-46.8961070.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:23.2730.0811.1945160.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000022-23.556320-46.8961070.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:24.2720.0799.1268810.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000015-23.556320-46.8961070.0NaN0.00.0NaN0.0driver_aroute_atrip_1
1900-01-01 19:32:24.2740.0811.3719890.035.04160138.523.011.52.1739130.0960.088.00.0000000.00.00.000015-23.556320-46.8961070.0NaN0.00.0NaN0.0driver_aroute_atrip_1
aceleracaoaltitude_gpsdistancia_percorridadistancia_percorrida_totalespaco_livre_no_tanque_combustivelnivel_combustivel_porcentagemnivel_combustivel_litrosposicao_acelerador_dposicao_acelerador_erpm_motortemperatura_arrefecimentovelocidade_gpsvelocidade_veiculovelocidade_mediavelocidade_media_gpslatitude_gpslongitude_gpsvelocidade_por_rpmvelocidade_por_posicao_acelerador_evelocidade_por_posicao_acelerador_daceleracao_por_rpmaceleracao_por_posicao_acelerador_eaceleracao_por_posicao_acelerador_ddriverroutetrip
time
1900-01-01 21:09:28.817-0.512954805.0028707.97761143.01921224.551.025.52.4390240.0804.084.00.00.023.94863520.425242-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:28.824-0.512954805.0028707.97761143.01921224.551.025.52.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:28.825-0.512954805.0028707.97761143.01921224.551.025.52.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:28.992-0.512954805.0028707.97761143.01921224.551.025.52.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:29.184-0.512954805.0028707.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:29.792-0.512954804.9250947.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:30.803-0.512954804.9898797.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:31.252-0.512954812.5000007.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556288-46.8959830.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:31.789-0.512954805.1029597.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3
1900-01-01 21:09:32.809-0.512954805.1117407.97761143.01921222.056.028.02.4390240.0804.084.00.00.023.94863520.414693-23.556278-46.8960090.0NaN0.0-0.000638-inf-0.210311driver_broute_atrip_3

Duplicate rows

Most frequently occurring

aceleracaoaltitude_gpsdistancia_percorridadistancia_percorrida_totalespaco_livre_no_tanque_combustivelnivel_combustivel_porcentagemnivel_combustivel_litrosposicao_acelerador_dposicao_acelerador_erpm_motortemperatura_arrefecimentovelocidade_gpsvelocidade_veiculovelocidade_mediavelocidade_media_gpslatitude_gpslongitude_gpsvelocidade_por_rpmvelocidade_por_posicao_acelerador_evelocidade_por_posicao_acelerador_daceleracao_por_rpmaceleracao_por_posicao_acelerador_eaceleracao_por_posicao_acelerador_ddriverroutetrip# duplicates
42800.000000812.5000000.00000035.04160125.549.024.52.0833330.00.036.00.0000000.00.0000000.000000-23.556372-46.896000NaNNaN0.00NaNNaN0.000000driver_aroute_atrip_210
41260.000000808.8284910.00000035.04160121.058.029.00.0000000.01294.037.00.0000000.00.0000001.300705-23.556277-46.8960300.000000NaNNaN0.000000NaNNaNdriver_broute_atrip_27
1780-0.563617810.2269502.61692837.65852941.018.09.00.0000000.0823.078.00.0000000.023.48229220.668895-23.541933-46.8846450.000000NaNNaN-0.000685-inf-infdriver_broute_atrip_16
2122-0.442252812.9000241.68933336.7309340.0100.050.02.1739130.0871.084.09.2863499.021.88956818.739568-23.556221-46.8960870.010333inf4.14-0.000508-inf-0.203436driver_aroute_atrip_16
3238-0.155858830.0981501.68550536.72710643.014.07.00.0000000.0949.068.020.69100215.021.74275019.489253-23.548497-46.8869750.015806infinf-0.000164-inf-infdriver_broute_atrip_16
40850.000000806.0326330.00000035.04160122.056.028.00.0000000.01141.037.00.0000000.00.0000000.577115-23.556280-46.8960260.000000NaNNaN0.000000NaNNaNdriver_broute_atrip_26
41700.000000810.9000240.00000035.04160124.052.026.00.0000000.00.088.00.0000010.00.0000000.006002-23.544168-46.884858NaNNaNNaNNaNNaNNaNdriver_aroute_atrip_26
42810.000000812.5000000.00000035.04160125.549.024.52.0833330.00.036.00.0000000.00.0000000.000000-23.556337-46.896080NaNNaN0.00NaNNaN0.000000driver_aroute_atrip_26
42870.000000812.5000000.00000035.04160125.549.024.52.0833330.00.036.01.4834430.00.0000000.186813-23.556349-46.896007NaNNaN0.00NaNNaN0.000000driver_aroute_atrip_26
42990.000000812.5000000.00000035.04160125.549.024.52.0833330.01469.036.00.3223670.00.0000000.125208-23.556301-46.8960140.000000NaN0.000.000000NaN0.000000driver_aroute_atrip_26